Dataset statistics
| Number of variables | 15 |
|---|---|
| Number of observations | 428 |
| Missing cells | 2 |
| Missing cells (%) | < 0.1% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 50.3 KiB |
| Average record size in memory | 120.3 B |
Variable types
| Categorical | 7 |
|---|---|
| Numeric | 8 |
Model has a high cardinality: 425 distinct values | High cardinality |
MSRP has a high cardinality: 410 distinct values | High cardinality |
Invoice has a high cardinality: 425 distinct values | High cardinality |
EngineSize is highly correlated with Cylinders and 6 other fields | High correlation |
Cylinders is highly correlated with EngineSize and 6 other fields | High correlation |
Horsepower is highly correlated with EngineSize and 5 other fields | High correlation |
MPG_City is highly correlated with EngineSize and 6 other fields | High correlation |
MPG_Highway is highly correlated with EngineSize and 5 other fields | High correlation |
Weight is highly correlated with EngineSize and 6 other fields | High correlation |
Wheelbase is highly correlated with EngineSize and 6 other fields | High correlation |
Length is highly correlated with EngineSize and 4 other fields | High correlation |
EngineSize is highly correlated with Cylinders and 6 other fields | High correlation |
Cylinders is highly correlated with EngineSize and 6 other fields | High correlation |
Horsepower is highly correlated with EngineSize and 4 other fields | High correlation |
MPG_City is highly correlated with EngineSize and 6 other fields | High correlation |
MPG_Highway is highly correlated with EngineSize and 5 other fields | High correlation |
Weight is highly correlated with EngineSize and 6 other fields | High correlation |
Wheelbase is highly correlated with EngineSize and 5 other fields | High correlation |
Length is highly correlated with EngineSize and 4 other fields | High correlation |
EngineSize is highly correlated with Cylinders and 5 other fields | High correlation |
Cylinders is highly correlated with EngineSize and 5 other fields | High correlation |
Horsepower is highly correlated with EngineSize and 4 other fields | High correlation |
MPG_City is highly correlated with EngineSize and 4 other fields | High correlation |
MPG_Highway is highly correlated with EngineSize and 4 other fields | High correlation |
Weight is highly correlated with EngineSize and 6 other fields | High correlation |
Wheelbase is highly correlated with EngineSize and 3 other fields | High correlation |
Length is highly correlated with Weight and 1 other fields | High correlation |
DriveTrain is highly correlated with Make | High correlation |
Make is highly correlated with DriveTrain and 1 other fields | High correlation |
Origin is highly correlated with Make | High correlation |
Make is highly correlated with Origin and 9 other fields | High correlation |
Type is highly correlated with DriveTrain and 3 other fields | High correlation |
Origin is highly correlated with Make and 2 other fields | High correlation |
DriveTrain is highly correlated with Make and 6 other fields | High correlation |
EngineSize is highly correlated with Make and 9 other fields | High correlation |
Cylinders is highly correlated with Make and 6 other fields | High correlation |
Horsepower is highly correlated with Make and 8 other fields | High correlation |
MPG_City is highly correlated with Make and 8 other fields | High correlation |
MPG_Highway is highly correlated with Make and 7 other fields | High correlation |
Weight is highly correlated with Make and 7 other fields | High correlation |
Wheelbase is highly correlated with Make and 7 other fields | High correlation |
Length is highly correlated with Make and 4 other fields | High correlation |
Model is uniformly distributed | Uniform |
MSRP is uniformly distributed | Uniform |
Invoice is uniformly distributed | Uniform |
Reproduction
| Analysis started | 2022-06-02 03:52:26.987585 |
|---|---|
| Analysis finished | 2022-06-02 03:52:41.106126 |
| Duration | 14.12 seconds |
| Software version | pandas-profiling v3.2.0 |
| Download configuration | config.json |
| Distinct | 38 |
|---|---|
| Distinct (%) | 8.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.5 KiB |
| Toyota | 28 |
|---|---|
| Chevrolet | 27 |
| Mercedes-Benz | 26 |
| Ford | 23 |
| BMW | 20 |
| Other values (33) |
Length
| Max length | 13 |
|---|---|
| Median length | 9 |
| Mean length | 6.46728972 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2768 |
|---|---|
| Distinct characters | 46 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | 0.2% |
Sample
| 1st row | Acura |
|---|---|
| 2nd row | Acura |
| 3rd row | Acura |
| 4th row | Acura |
| 5th row | Acura |
Common Values
| Value | Count | Frequency (%) |
| Toyota | 28 | 6.5% |
| Chevrolet | 27 | 6.3% |
| Mercedes-Benz | 26 | 6.1% |
| Ford | 23 | 5.4% |
| BMW | 20 | 4.7% |
| Audi | 19 | 4.4% |
| Honda | 17 | 4.0% |
| Nissan | 17 | 4.0% |
| Volkswagen | 15 | 3.5% |
| Chrysler | 15 | 3.5% |
| Other values (28) | 221 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| toyota | 28 | 6.5% |
| chevrolet | 27 | 6.3% |
| mercedes-benz | 26 | 6.0% |
| ford | 23 | 5.3% |
| bmw | 20 | 4.6% |
| audi | 19 | 4.4% |
| honda | 17 | 3.9% |
| nissan | 17 | 3.9% |
| chrysler | 15 | 3.5% |
| volkswagen | 15 | 3.5% |
| Other values (29) | 224 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 241 | 8.7% |
| a | 216 | 7.8% |
| o | 210 | 7.6% |
| r | 173 | 6.2% |
| i | 172 | 6.2% |
| n | 145 | 5.2% |
| u | 143 | 5.2% |
| s | 139 | 5.0% |
| d | 135 | 4.9% |
| l | 100 | 3.6% |
| Other values (36) | 1094 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 2220 | |
| Uppercase Letter | 519 | 18.8% |
| Dash Punctuation | 26 | 0.9% |
| Space Separator | 3 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 241 | |
| a | 216 | 9.7% |
| o | 210 | 9.5% |
| r | 173 | 7.8% |
| i | 172 | 7.7% |
| n | 145 | 6.5% |
| u | 143 | 6.4% |
| s | 139 | 6.3% |
| d | 135 | 6.1% |
| l | 100 | 4.5% |
| Other values (14) | 546 |
Uppercase Letter
| Value | Count | Frequency (%) |
| M | 89 | |
| C | 58 | |
| B | 55 | |
| S | 36 | 6.9% |
| H | 30 | 5.8% |
| T | 28 | 5.4% |
| V | 27 | 5.2% |
| A | 26 | 5.0% |
| L | 23 | 4.4% |
| F | 23 | 4.4% |
| Other values (10) | 124 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 26 |
Space Separator
| Value | Count | Frequency (%) |
| 3 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2739 | |
| Common | 29 | 1.0% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 241 | 8.8% |
| a | 216 | 7.9% |
| o | 210 | 7.7% |
| r | 173 | 6.3% |
| i | 172 | 6.3% |
| n | 145 | 5.3% |
| u | 143 | 5.2% |
| s | 139 | 5.1% |
| d | 135 | 4.9% |
| l | 100 | 3.7% |
| Other values (34) | 1065 |
Common
| Value | Count | Frequency (%) |
| - | 26 | |
| 3 | 10.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2768 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 241 | 8.7% |
| a | 216 | 7.8% |
| o | 210 | 7.6% |
| r | 173 | 6.2% |
| i | 172 | 6.2% |
| n | 145 | 5.2% |
| u | 143 | 5.2% |
| s | 139 | 5.0% |
| d | 135 | 4.9% |
| l | 100 | 3.6% |
| Other values (36) | 1094 |
| Distinct | 425 |
|---|---|
| Distinct (%) | 99.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.5 KiB |
| G35 4dr | 2 |
|---|---|
| C320 4dr | 2 |
| C240 4dr | 2 |
| MDX | 1 |
| Marauder 4dr | 1 |
| Other values (420) |
Length
| Max length | 39 |
|---|---|
| Median length | 30 |
| Mean length | 14.51401869 |
| Min length | 2 |
Characters and Unicode
| Total characters | 6212 |
|---|---|
| Distinct characters | 68 |
| Distinct categories | 8 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 422 ? |
|---|---|
| Unique (%) | 98.6% |
Sample
| 1st row | MDX |
|---|---|
| 2nd row | RSX Type S 2dr |
| 3rd row | TSX 4dr |
| 4th row | TL 4dr |
| 5th row | 3.5 RL 4dr |
Common Values
| Value | Count | Frequency (%) |
| G35 4dr | 2 | 0.5% |
| C320 4dr | 2 | 0.5% |
| C240 4dr | 2 | 0.5% |
| MDX | 1 | 0.2% |
| Marauder 4dr | 1 | 0.2% |
| Lancer OZ Rally 4dr auto | 1 | 0.2% |
| Galant ES 2.4L 4dr | 1 | 0.2% |
| Lancer LS 4dr | 1 | 0.2% |
| Lancer ES 4dr | 1 | 0.2% |
| Outlander LS | 1 | 0.2% |
| Other values (415) | 415 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 4dr | 197 | 15.7% |
| 2dr | 94 | 7.5% |
| convertible | 41 | 3.3% |
| lx | 22 | 1.8% |
| ls | 21 | 1.7% |
| v6 | 19 | 1.5% |
| se | 17 | 1.4% |
| coupe | 15 | 1.2% |
| cab | 15 | 1.2% |
| s | 14 | 1.1% |
| Other values (421) | 800 |
Most occurring characters
| Value | Count | Frequency (%) |
| 827 | 13.3% | |
| r | 577 | 9.3% |
| d | 357 | 5.7% |
| a | 327 | 5.3% |
| e | 326 | 5.2% |
| 4 | 237 | 3.8% |
| o | 228 | 3.7% |
| t | 227 | 3.7% |
| S | 209 | 3.4% |
| i | 205 | 3.3% |
| Other values (58) | 2692 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3395 | |
| Uppercase Letter | 1143 | 18.4% |
| Space Separator | 827 | 13.3% |
| Decimal Number | 756 | 12.2% |
| Other Punctuation | 44 | 0.7% |
| Dash Punctuation | 25 | 0.4% |
| Open Punctuation | 11 | 0.2% |
| Close Punctuation | 11 | 0.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 577 | |
| d | 357 | |
| a | 327 | |
| e | 326 | |
| o | 228 | 6.7% |
| t | 227 | 6.7% |
| i | 205 | 6.0% |
| n | 194 | 5.7% |
| c | 146 | 4.3% |
| l | 144 | 4.2% |
| Other values (16) | 664 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 209 | |
| L | 136 | |
| C | 100 | |
| X | 96 | |
| T | 91 | |
| E | 73 | 6.4% |
| G | 63 | 5.5% |
| A | 58 | 5.1% |
| R | 50 | 4.4% |
| M | 43 | 3.8% |
| Other values (16) | 224 |
Decimal Number
| Value | Count | Frequency (%) |
| 4 | 237 | |
| 2 | 141 | |
| 0 | 117 | |
| 3 | 79 | 10.4% |
| 5 | 65 | 8.6% |
| 6 | 38 | 5.0% |
| 1 | 31 | 4.1% |
| 8 | 26 | 3.4% |
| 9 | 13 | 1.7% |
| 7 | 9 | 1.2% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 39 | |
| / | 5 | 11.4% |
Space Separator
| Value | Count | Frequency (%) |
| 827 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 25 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 11 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 11 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 4538 | |
| Common | 1674 | 26.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 577 | 12.7% |
| d | 357 | 7.9% |
| a | 327 | 7.2% |
| e | 326 | 7.2% |
| o | 228 | 5.0% |
| t | 227 | 5.0% |
| S | 209 | 4.6% |
| i | 205 | 4.5% |
| n | 194 | 4.3% |
| c | 146 | 3.2% |
| Other values (42) | 1742 |
Common
| Value | Count | Frequency (%) |
| 827 | ||
| 4 | 237 | 14.2% |
| 2 | 141 | 8.4% |
| 0 | 117 | 7.0% |
| 3 | 79 | 4.7% |
| 5 | 65 | 3.9% |
| . | 39 | 2.3% |
| 6 | 38 | 2.3% |
| 1 | 31 | 1.9% |
| 8 | 26 | 1.6% |
| Other values (6) | 74 | 4.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 6212 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 827 | 13.3% | |
| r | 577 | 9.3% |
| d | 357 | 5.7% |
| a | 327 | 5.3% |
| e | 326 | 5.2% |
| 4 | 237 | 3.8% |
| o | 228 | 3.7% |
| t | 227 | 3.7% |
| S | 209 | 3.4% |
| i | 205 | 3.3% |
| Other values (58) | 2692 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.5 KiB |
| Sedan | |
|---|---|
| SUV | |
| Sports | |
| Wagon | |
| Truck | 24 |
Length
| Max length | 6 |
|---|---|
| Median length | 5 |
| Mean length | 4.841121495 |
| Min length | 3 |
Characters and Unicode
| Total characters | 2072 |
|---|---|
| Distinct characters | 22 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | SUV |
|---|---|
| 2nd row | Sedan |
| 3rd row | Sedan |
| 4th row | Sedan |
| 5th row | Sedan |
Common Values
| Value | Count | Frequency (%) |
| Sedan | 262 | |
| SUV | 60 | 14.0% |
| Sports | 49 | 11.4% |
| Wagon | 30 | 7.0% |
| Truck | 24 | 5.6% |
| Hybrid | 3 | 0.7% |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| sedan | 262 | |
| suv | 60 | 14.0% |
| sports | 49 | 11.4% |
| wagon | 30 | 7.0% |
| truck | 24 | 5.6% |
| hybrid | 3 | 0.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| S | 371 | |
| a | 292 | |
| n | 292 | |
| d | 265 | |
| e | 262 | |
| o | 79 | 3.8% |
| r | 76 | 3.7% |
| U | 60 | 2.9% |
| V | 60 | 2.9% |
| t | 49 | 2.4% |
| Other values (12) | 266 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1524 | |
| Uppercase Letter | 548 | 26.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 292 | |
| n | 292 | |
| d | 265 | |
| e | 262 | |
| o | 79 | 5.2% |
| r | 76 | 5.0% |
| t | 49 | 3.2% |
| s | 49 | 3.2% |
| p | 49 | 3.2% |
| g | 30 | 2.0% |
| Other values (6) | 81 | 5.3% |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 371 | |
| U | 60 | 10.9% |
| V | 60 | 10.9% |
| W | 30 | 5.5% |
| T | 24 | 4.4% |
| H | 3 | 0.5% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 2072 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| S | 371 | |
| a | 292 | |
| n | 292 | |
| d | 265 | |
| e | 262 | |
| o | 79 | 3.8% |
| r | 76 | 3.7% |
| U | 60 | 2.9% |
| V | 60 | 2.9% |
| t | 49 | 2.4% |
| Other values (12) | 266 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2072 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| S | 371 | |
| a | 292 | |
| n | 292 | |
| d | 265 | |
| e | 262 | |
| o | 79 | 3.8% |
| r | 76 | 3.7% |
| U | 60 | 2.9% |
| V | 60 | 2.9% |
| t | 49 | 2.4% |
| Other values (12) | 266 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.5 KiB |
| Asia | |
|---|---|
| USA | |
| Europe |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.231308411 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1811 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Asia |
|---|---|
| 2nd row | Asia |
| 3rd row | Asia |
| 4th row | Asia |
| 5th row | Asia |
Common Values
| Value | Count | Frequency (%) |
| Asia | 158 | |
| USA | 147 | |
| Europe | 123 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| asia | 158 | |
| usa | 147 | |
| europe | 123 |
Most occurring characters
| Value | Count | Frequency (%) |
| A | 305 | |
| s | 158 | |
| i | 158 | |
| a | 158 | |
| U | 147 | |
| S | 147 | |
| E | 123 | |
| u | 123 | |
| r | 123 | |
| o | 123 | |
| Other values (2) | 246 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1089 | |
| Uppercase Letter | 722 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| s | 158 | |
| i | 158 | |
| a | 158 | |
| u | 123 | |
| r | 123 | |
| o | 123 | |
| p | 123 | |
| e | 123 |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 305 | |
| U | 147 | |
| S | 147 | |
| E | 123 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1811 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| A | 305 | |
| s | 158 | |
| i | 158 | |
| a | 158 | |
| U | 147 | |
| S | 147 | |
| E | 123 | |
| u | 123 | |
| r | 123 | |
| o | 123 | |
| Other values (2) | 246 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1811 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| A | 305 | |
| s | 158 | |
| i | 158 | |
| a | 158 | |
| U | 147 | |
| S | 147 | |
| E | 123 | |
| u | 123 | |
| r | 123 | |
| o | 123 | |
| Other values (2) | 246 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.5 KiB |
| Front | |
|---|---|
| Rear | |
| All |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.313084112 |
| Min length | 3 |
Characters and Unicode
| Total characters | 1846 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | All |
|---|---|
| 2nd row | Front |
| 3rd row | Front |
| 4th row | Front |
| 5th row | Front |
Common Values
| Value | Count | Frequency (%) |
| Front | 226 | |
| Rear | 110 | |
| All | 92 |
Length
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| front | 226 | |
| rear | 110 | |
| all | 92 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 336 | |
| F | 226 | |
| o | 226 | |
| n | 226 | |
| t | 226 | |
| l | 184 | |
| R | 110 | 6.0% |
| e | 110 | 6.0% |
| a | 110 | 6.0% |
| A | 92 | 5.0% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1418 | |
| Uppercase Letter | 428 | 23.2% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 336 | |
| o | 226 | |
| n | 226 | |
| t | 226 | |
| l | 184 | |
| e | 110 | 7.8% |
| a | 110 | 7.8% |
Uppercase Letter
| Value | Count | Frequency (%) |
| F | 226 | |
| R | 110 | |
| A | 92 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1846 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 336 | |
| F | 226 | |
| o | 226 | |
| n | 226 | |
| t | 226 | |
| l | 184 | |
| R | 110 | 6.0% |
| e | 110 | 6.0% |
| a | 110 | 6.0% |
| A | 92 | 5.0% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1846 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 336 | |
| F | 226 | |
| o | 226 | |
| n | 226 | |
| t | 226 | |
| l | 184 | |
| R | 110 | 6.0% |
| e | 110 | 6.0% |
| a | 110 | 6.0% |
| A | 92 | 5.0% |
| Distinct | 410 |
|---|---|
| Distinct (%) | 95.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.5 KiB |
| $33,995 | 2 |
|---|---|
| $21,595 | 2 |
| $29,995 | 2 |
| $28,495 | 2 |
| $23,495 | 2 |
| Other values (405) |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 7.009345794 |
| Min length | 7 |
Characters and Unicode
| Total characters | 3000 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 3 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 392 ? |
|---|---|
| Unique (%) | 91.6% |
Sample
| 1st row | $36,945 |
|---|---|
| 2nd row | $23,820 |
| 3rd row | $26,990 |
| 4th row | $33,195 |
| 5th row | $43,755 |
Common Values
| Value | Count | Frequency (%) |
| $33,995 | 2 | 0.5% |
| $21,595 | 2 | 0.5% |
| $29,995 | 2 | 0.5% |
| $28,495 | 2 | 0.5% |
| $23,495 | 2 | 0.5% |
| $21,055 | 2 | 0.5% |
| $74,995 | 2 | 0.5% |
| $15,389 | 2 | 0.5% |
| $23,895 | 2 | 0.5% |
| $13,270 | 2 | 0.5% |
| Other values (400) | 408 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 33,995 | 2 | 0.5% |
| 19,635 | 2 | 0.5% |
| 21,595 | 2 | 0.5% |
| 19,860 | 2 | 0.5% |
| 49,995 | 2 | 0.5% |
| 31,545 | 2 | 0.5% |
| 35,940 | 2 | 0.5% |
| 27,490 | 2 | 0.5% |
| 25,700 | 2 | 0.5% |
| 34,495 | 2 | 0.5% |
| Other values (400) | 408 |
Most occurring characters
| Value | Count | Frequency (%) |
| $ | 428 | |
| , | 428 | |
| 5 | 334 | |
| 0 | 297 | |
| 2 | 281 | |
| 9 | 236 | |
| 3 | 218 | |
| 1 | 206 | |
| 4 | 200 | |
| 6 | 129 | 4.3% |
| Other values (2) | 243 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2144 | |
| Currency Symbol | 428 | 14.3% |
| Other Punctuation | 428 | 14.3% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 5 | 334 | |
| 0 | 297 | |
| 2 | 281 | |
| 9 | 236 | |
| 3 | 218 | |
| 1 | 206 | |
| 4 | 200 | |
| 6 | 129 | 6.0% |
| 7 | 126 | 5.9% |
| 8 | 117 | 5.5% |
Currency Symbol
| Value | Count | Frequency (%) |
| $ | 428 |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 428 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 3000 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| $ | 428 | |
| , | 428 | |
| 5 | 334 | |
| 0 | 297 | |
| 2 | 281 | |
| 9 | 236 | |
| 3 | 218 | |
| 1 | 206 | |
| 4 | 200 | |
| 6 | 129 | 4.3% |
| Other values (2) | 243 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3000 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| $ | 428 | |
| , | 428 | |
| 5 | 334 | |
| 0 | 297 | |
| 2 | 281 | |
| 9 | 236 | |
| 3 | 218 | |
| 1 | 206 | |
| 4 | 200 | |
| 6 | 129 | 4.3% |
| Other values (2) | 243 |
| Distinct | 425 |
|---|---|
| Distinct (%) | 99.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 3.5 KiB |
| $19,638 | 2 |
|---|---|
| $68,306 | 2 |
| $14,207 | 2 |
| $33,337 | 1 |
| $28,318 | 1 |
| Other values (420) |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 7.007009346 |
| Min length | 6 |
Characters and Unicode
| Total characters | 2999 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 3 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 422 ? |
|---|---|
| Unique (%) | 98.6% |
Sample
| 1st row | $33,337 |
|---|---|
| 2nd row | $21,761 |
| 3rd row | $24,647 |
| 4th row | $30,299 |
| 5th row | $39,014 |
Common Values
| Value | Count | Frequency (%) |
| $19,638 | 2 | 0.5% |
| $68,306 | 2 | 0.5% |
| $14,207 | 2 | 0.5% |
| $33,337 | 1 | 0.2% |
| $28,318 | 1 | 0.2% |
| $17,957 | 1 | 0.2% |
| $15,718 | 1 | 0.2% |
| $13,751 | 1 | 0.2% |
| $17,569 | 1 | 0.2% |
| $30,763 | 1 | 0.2% |
| Other values (415) | 415 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 19,638 | 2 | 0.5% |
| 14,207 | 2 | 0.5% |
| 68,306 | 2 | 0.5% |
| 34,483 | 1 | 0.2% |
| 29,566 | 1 | 0.2% |
| 30,299 | 1 | 0.2% |
| 39,014 | 1 | 0.2% |
| 41,100 | 1 | 0.2% |
| 79,978 | 1 | 0.2% |
| 23,508 | 1 | 0.2% |
| Other values (415) | 415 |
Most occurring characters
| Value | Count | Frequency (%) |
| $ | 428 | |
| , | 428 | |
| 2 | 300 | |
| 1 | 289 | |
| 3 | 251 | |
| 4 | 205 | |
| 8 | 194 | |
| 0 | 187 | |
| 5 | 186 | |
| 7 | 184 | |
| Other values (2) | 347 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 2143 | |
| Currency Symbol | 428 | 14.3% |
| Other Punctuation | 428 | 14.3% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 300 | |
| 1 | 289 | |
| 3 | 251 | |
| 4 | 205 | |
| 8 | 194 | |
| 0 | 187 | |
| 5 | 186 | |
| 7 | 184 | |
| 6 | 182 | |
| 9 | 165 |
Currency Symbol
| Value | Count | Frequency (%) |
| $ | 428 |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 428 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 2999 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| $ | 428 | |
| , | 428 | |
| 2 | 300 | |
| 1 | 289 | |
| 3 | 251 | |
| 4 | 205 | |
| 8 | 194 | |
| 0 | 187 | |
| 5 | 186 | |
| 7 | 184 | |
| Other values (2) | 347 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 2999 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| $ | 428 | |
| , | 428 | |
| 2 | 300 | |
| 1 | 289 | |
| 3 | 251 | |
| 4 | 205 | |
| 8 | 194 | |
| 0 | 187 | |
| 5 | 186 | |
| 7 | 184 | |
| Other values (2) | 347 |
| Distinct | 43 |
|---|---|
| Distinct (%) | 10.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.196728972 |
| Minimum | 1.3 |
|---|---|
| Maximum | 8.3 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 1.3 |
|---|---|
| 5-th percentile | 1.7 |
| Q1 | 2.375 |
| median | 3 |
| Q3 | 3.9 |
| 95-th percentile | 5.3 |
| Maximum | 8.3 |
| Range | 7 |
| Interquartile range (IQR) | 1.525 |
Descriptive statistics
| Standard deviation | 1.108594718 |
|---|---|
| Coefficient of variation (CV) | 0.3467903373 |
| Kurtosis | 0.5419435378 |
| Mean | 3.196728972 |
| Median Absolute Deviation (MAD) | 0.8 |
| Skewness | 0.7081519825 |
| Sum | 1368.2 |
| Variance | 1.22898225 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=43)
| Value | Count | Frequency (%) |
| 3 | 42 | 9.8% |
| 3.5 | 34 | 7.9% |
| 2 | 30 | 7.0% |
| 2.5 | 26 | 6.1% |
| 2.4 | 23 | 5.4% |
| 1.8 | 23 | 5.4% |
| 4.6 | 21 | 4.9% |
| 4.2 | 20 | 4.7% |
| 3.2 | 18 | 4.2% |
| 3.8 | 17 | 4.0% |
| Other values (33) | 174 |
| Value | Count | Frequency (%) |
| 1.3 | 2 | 0.5% |
| 1.4 | 1 | 0.2% |
| 1.5 | 6 | 1.4% |
| 1.6 | 10 | 2.3% |
| 1.7 | 4 | 0.9% |
| 1.8 | 23 | |
| 1.9 | 3 | 0.7% |
| 2 | 30 | |
| 2.2 | 15 | |
| 2.3 | 13 |
| Value | Count | Frequency (%) |
| 8.3 | 1 | 0.2% |
| 6.8 | 1 | 0.2% |
| 6 | 6 | |
| 5.7 | 3 | 0.7% |
| 5.6 | 2 | 0.5% |
| 5.5 | 3 | 0.7% |
| 5.4 | 2 | 0.5% |
| 5.3 | 5 | |
| 5 | 8 | |
| 4.8 | 2 | 0.5% |
| Distinct | 7 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 2 |
| Missing (%) | 0.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5.807511737 |
| Minimum | 3 |
|---|---|
| Maximum | 12 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 4 |
| Q1 | 4 |
| median | 6 |
| Q3 | 6 |
| 95-th percentile | 8 |
| Maximum | 12 |
| Range | 9 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.558442633 |
|---|---|
| Coefficient of variation (CV) | 0.2683494591 |
| Kurtosis | 0.4403783249 |
| Mean | 5.807511737 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.5927851991 |
| Sum | 2474 |
| Variance | 2.428743441 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 6 | 190 | |
| 4 | 136 | |
| 8 | 87 | |
| 5 | 7 | 1.6% |
| 12 | 3 | 0.7% |
| 10 | 2 | 0.5% |
| 3 | 1 | 0.2% |
| (Missing) | 2 | 0.5% |
| Value | Count | Frequency (%) |
| 3 | 1 | 0.2% |
| 4 | 136 | |
| 5 | 7 | 1.6% |
| 6 | 190 | |
| 8 | 87 | |
| 10 | 2 | 0.5% |
| 12 | 3 | 0.7% |
| Value | Count | Frequency (%) |
| 12 | 3 | 0.7% |
| 10 | 2 | 0.5% |
| 8 | 87 | |
| 6 | 190 | |
| 5 | 7 | 1.6% |
| 4 | 136 | |
| 3 | 1 | 0.2% |
| Distinct | 110 |
|---|---|
| Distinct (%) | 25.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 215.885514 |
| Minimum | 73 |
|---|---|
| Maximum | 500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 73 |
|---|---|
| 5-th percentile | 115 |
| Q1 | 165 |
| median | 210 |
| Q3 | 255 |
| 95-th percentile | 338.25 |
| Maximum | 500 |
| Range | 427 |
| Interquartile range (IQR) | 90 |
Descriptive statistics
| Standard deviation | 71.83603158 |
|---|---|
| Coefficient of variation (CV) | 0.3327505873 |
| Kurtosis | 1.552158629 |
| Mean | 215.885514 |
| Median Absolute Deviation (MAD) | 45 |
| Skewness | 0.9303307363 |
| Sum | 92399 |
| Variance | 5160.415434 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 200 | 17 | 4.0% |
| 215 | 14 | 3.3% |
| 210 | 14 | 3.3% |
| 240 | 13 | 3.0% |
| 225 | 13 | 3.0% |
| 220 | 12 | 2.8% |
| 140 | 12 | 2.8% |
| 300 | 11 | 2.6% |
| 170 | 11 | 2.6% |
| 130 | 10 | 2.3% |
| Other values (100) | 301 |
| Value | Count | Frequency (%) |
| 73 | 1 | 0.2% |
| 93 | 1 | 0.2% |
| 100 | 1 | 0.2% |
| 103 | 5 | |
| 104 | 3 | |
| 108 | 5 | |
| 110 | 2 | 0.5% |
| 115 | 6 | |
| 117 | 1 | 0.2% |
| 119 | 2 | 0.5% |
| Value | Count | Frequency (%) |
| 500 | 1 | 0.2% |
| 493 | 3 | |
| 477 | 1 | 0.2% |
| 450 | 1 | 0.2% |
| 420 | 1 | 0.2% |
| 390 | 4 | |
| 350 | 2 | 0.5% |
| 349 | 2 | 0.5% |
| 345 | 1 | 0.2% |
| 340 | 6 |
| Distinct | 28 |
|---|---|
| Distinct (%) | 6.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 20.06074766 |
| Minimum | 10 |
|---|---|
| Maximum | 60 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 10 |
|---|---|
| 5-th percentile | 14 |
| Q1 | 17 |
| median | 19 |
| Q3 | 21.25 |
| 95-th percentile | 29 |
| Maximum | 60 |
| Range | 50 |
| Interquartile range (IQR) | 4.25 |
Descriptive statistics
| Standard deviation | 5.238217639 |
|---|---|
| Coefficient of variation (CV) | 0.2611177672 |
| Kurtosis | 15.79114731 |
| Mean | 20.06074766 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 2.782071803 |
| Sum | 8586 |
| Variance | 27.43892403 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=28)
| Value | Count | Frequency (%) |
| 18 | 69 | |
| 20 | 57 | |
| 17 | 41 | |
| 21 | 38 | |
| 19 | 37 | |
| 16 | 31 | |
| 24 | 22 | 5.1% |
| 26 | 22 | 5.1% |
| 22 | 18 | 4.2% |
| 15 | 17 | 4.0% |
| Other values (18) | 76 |
| Value | Count | Frequency (%) |
| 10 | 2 | 0.5% |
| 12 | 4 | 0.9% |
| 13 | 12 | 2.8% |
| 14 | 13 | 3.0% |
| 15 | 17 | 4.0% |
| 16 | 31 | |
| 17 | 41 | |
| 18 | 69 | |
| 19 | 37 | |
| 20 | 57 |
| Value | Count | Frequency (%) |
| 60 | 1 | 0.2% |
| 59 | 1 | 0.2% |
| 46 | 1 | 0.2% |
| 38 | 1 | 0.2% |
| 36 | 1 | 0.2% |
| 35 | 2 | 0.5% |
| 33 | 1 | 0.2% |
| 32 | 7 | |
| 31 | 1 | 0.2% |
| 29 | 7 |
| Distinct | 33 |
|---|---|
| Distinct (%) | 7.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 26.84345794 |
| Minimum | 12 |
|---|---|
| Maximum | 66 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 12 |
|---|---|
| 5-th percentile | 18 |
| Q1 | 24 |
| median | 26 |
| Q3 | 29 |
| 95-th percentile | 36 |
| Maximum | 66 |
| Range | 54 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 5.741200717 |
|---|---|
| Coefficient of variation (CV) | 0.2138770917 |
| Kurtosis | 6.045610681 |
| Mean | 26.84345794 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 1.252395273 |
| Sum | 11489 |
| Variance | 32.96138567 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=33)
| Value | Count | Frequency (%) |
| 26 | 54 | |
| 25 | 44 | 10.3% |
| 28 | 38 | 8.9% |
| 29 | 34 | 7.9% |
| 27 | 28 | 6.5% |
| 24 | 25 | 5.8% |
| 30 | 24 | 5.6% |
| 23 | 16 | 3.7% |
| 21 | 16 | 3.7% |
| 19 | 16 | 3.7% |
| Other values (23) | 133 |
| Value | Count | Frequency (%) |
| 12 | 1 | 0.2% |
| 13 | 1 | 0.2% |
| 14 | 1 | 0.2% |
| 16 | 2 | 0.5% |
| 17 | 9 | |
| 18 | 11 | |
| 19 | 16 | |
| 20 | 13 | |
| 21 | 16 | |
| 22 | 13 |
| Value | Count | Frequency (%) |
| 66 | 1 | 0.2% |
| 51 | 2 | 0.5% |
| 46 | 1 | 0.2% |
| 44 | 1 | 0.2% |
| 43 | 2 | 0.5% |
| 40 | 3 | |
| 39 | 1 | 0.2% |
| 38 | 3 | |
| 37 | 5 | |
| 36 | 5 |
| Distinct | 348 |
|---|---|
| Distinct (%) | 81.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3577.953271 |
| Minimum | 1850 |
|---|---|
| Maximum | 7190 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 1850 |
|---|---|
| 5-th percentile | 2513 |
| Q1 | 3104 |
| median | 3474.5 |
| Q3 | 3977.75 |
| 95-th percentile | 4995.45 |
| Maximum | 7190 |
| Range | 5340 |
| Interquartile range (IQR) | 873.75 |
Descriptive statistics
| Standard deviation | 758.9832146 |
|---|---|
| Coefficient of variation (CV) | 0.2121277605 |
| Kurtosis | 1.688788526 |
| Mean | 3577.953271 |
| Median Absolute Deviation (MAD) | 428 |
| Skewness | 0.8918242318 |
| Sum | 1531364 |
| Variance | 576055.5201 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 3175 | 4 | 0.9% |
| 3450 | 4 | 0.9% |
| 3285 | 4 | 0.9% |
| 3428 | 3 | 0.7% |
| 3197 | 3 | 0.7% |
| 4052 | 3 | 0.7% |
| 3803 | 3 | 0.7% |
| 3351 | 3 | 0.7% |
| 3217 | 3 | 0.7% |
| 2524 | 3 | 0.7% |
| Other values (338) | 395 |
| Value | Count | Frequency (%) |
| 1850 | 1 | |
| 2035 | 1 | |
| 2055 | 1 | |
| 2085 | 1 | |
| 2195 | 1 | |
| 2255 | 1 | |
| 2290 | 1 | |
| 2339 | 1 | |
| 2340 | 1 | |
| 2348 | 1 |
| Value | Count | Frequency (%) |
| 7190 | 1 | |
| 6400 | 1 | |
| 6133 | 1 | |
| 5969 | 1 | |
| 5879 | 1 | |
| 5678 | 1 | |
| 5590 | 1 | |
| 5464 | 1 | |
| 5440 | 1 | |
| 5423 | 1 |
| Distinct | 40 |
|---|---|
| Distinct (%) | 9.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 108.1542056 |
| Minimum | 89 |
|---|---|
| Maximum | 144 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 89 |
|---|---|
| 5-th percentile | 95.35 |
| Q1 | 103 |
| median | 107 |
| Q3 | 112 |
| 95-th percentile | 123 |
| Maximum | 144 |
| Range | 55 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 8.311812991 |
|---|---|
| Coefficient of variation (CV) | 0.07685150054 |
| Kurtosis | 2.133649204 |
| Mean | 108.1542056 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.9622869732 |
| Sum | 46290 |
| Variance | 69.0862352 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=40)
| Value | Count | Frequency (%) |
| 107 | 45 | 10.5% |
| 103 | 30 | 7.0% |
| 106 | 27 | 6.3% |
| 112 | 25 | 5.8% |
| 104 | 24 | 5.6% |
| 105 | 21 | 4.9% |
| 115 | 20 | 4.7% |
| 111 | 17 | 4.0% |
| 109 | 17 | 4.0% |
| 101 | 16 | 3.7% |
| Other values (30) | 186 |
| Value | Count | Frequency (%) |
| 89 | 2 | 0.5% |
| 93 | 9 | |
| 95 | 11 | |
| 96 | 5 | 1.2% |
| 97 | 3 | 0.7% |
| 98 | 11 | |
| 99 | 11 | |
| 100 | 7 | |
| 101 | 16 | |
| 102 | 16 |
| Value | Count | Frequency (%) |
| 144 | 2 | |
| 140 | 1 | 0.2% |
| 137 | 1 | 0.2% |
| 133 | 2 | |
| 131 | 1 | 0.2% |
| 130 | 4 | |
| 129 | 2 | |
| 128 | 2 | |
| 126 | 2 | |
| 124 | 3 |
| Distinct | 67 |
|---|---|
| Distinct (%) | 15.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 186.3621495 |
| Minimum | 143 |
|---|---|
| Maximum | 238 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 143 |
|---|---|
| 5-th percentile | 163 |
| Q1 | 178 |
| median | 187 |
| Q3 | 194 |
| 95-th percentile | 212 |
| Maximum | 238 |
| Range | 95 |
| Interquartile range (IQR) | 16 |
Descriptive statistics
| Standard deviation | 14.35799126 |
|---|---|
| Coefficient of variation (CV) | 0.07704349458 |
| Kurtosis | 0.6147245054 |
| Mean | 186.3621495 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | 0.1819770318 |
| Sum | 79763 |
| Variance | 206.1519129 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 178 | 27 | 6.3% |
| 190 | 22 | 5.1% |
| 187 | 17 | 4.0% |
| 192 | 16 | 3.7% |
| 188 | 15 | 3.5% |
| 179 | 14 | 3.3% |
| 191 | 14 | 3.3% |
| 177 | 13 | 3.0% |
| 200 | 13 | 3.0% |
| 183 | 12 | 2.8% |
| Other values (57) | 265 |
| Value | Count | Frequency (%) |
| 143 | 1 | 0.2% |
| 144 | 1 | 0.2% |
| 150 | 1 | 0.2% |
| 153 | 2 | |
| 154 | 1 | 0.2% |
| 155 | 2 | |
| 156 | 2 | |
| 158 | 2 | |
| 159 | 3 | |
| 160 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 238 | 1 | 0.2% |
| 230 | 1 | 0.2% |
| 227 | 1 | 0.2% |
| 224 | 1 | 0.2% |
| 222 | 2 | 0.5% |
| 221 | 2 | 0.5% |
| 219 | 3 | |
| 218 | 3 | |
| 215 | 2 | 0.5% |
| 212 | 7 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| Make | Model | Type | Origin | DriveTrain | MSRP | Invoice | EngineSize | Cylinders | Horsepower | MPG_City | MPG_Highway | Weight | Wheelbase | Length | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Acura | MDX | SUV | Asia | All | $36,945 | $33,337 | 3.5 | 6.0 | 265 | 17 | 23 | 4451 | 106 | 189 |
| 1 | Acura | RSX Type S 2dr | Sedan | Asia | Front | $23,820 | $21,761 | 2.0 | 4.0 | 200 | 24 | 31 | 2778 | 101 | 172 |
| 2 | Acura | TSX 4dr | Sedan | Asia | Front | $26,990 | $24,647 | 2.4 | 4.0 | 200 | 22 | 29 | 3230 | 105 | 183 |
| 3 | Acura | TL 4dr | Sedan | Asia | Front | $33,195 | $30,299 | 3.2 | 6.0 | 270 | 20 | 28 | 3575 | 108 | 186 |
| 4 | Acura | 3.5 RL 4dr | Sedan | Asia | Front | $43,755 | $39,014 | 3.5 | 6.0 | 225 | 18 | 24 | 3880 | 115 | 197 |
| 5 | Acura | 3.5 RL w/Navigation 4dr | Sedan | Asia | Front | $46,100 | $41,100 | 3.5 | 6.0 | 225 | 18 | 24 | 3893 | 115 | 197 |
| 6 | Acura | NSX coupe 2dr manual S | Sports | Asia | Rear | $89,765 | $79,978 | 3.2 | 6.0 | 290 | 17 | 24 | 3153 | 100 | 174 |
| 7 | Audi | A4 1.8T 4dr | Sedan | Europe | Front | $25,940 | $23,508 | 1.8 | 4.0 | 170 | 22 | 31 | 3252 | 104 | 179 |
| 8 | Audi | A41.8T convertible 2dr | Sedan | Europe | Front | $35,940 | $32,506 | 1.8 | 4.0 | 170 | 23 | 30 | 3638 | 105 | 180 |
| 9 | Audi | A4 3.0 4dr | Sedan | Europe | Front | $31,840 | $28,846 | 3.0 | 6.0 | 220 | 20 | 28 | 3462 | 104 | 179 |
Last rows
| Make | Model | Type | Origin | DriveTrain | MSRP | Invoice | EngineSize | Cylinders | Horsepower | MPG_City | MPG_Highway | Weight | Wheelbase | Length | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 418 | Volvo | S60 2.5 4dr | Sedan | Europe | All | $31,745 | $29,916 | 2.5 | 5.0 | 208 | 20 | 27 | 3903 | 107 | 180 |
| 419 | Volvo | S60 T5 4dr | Sedan | Europe | Front | $34,845 | $32,902 | 2.3 | 5.0 | 247 | 20 | 28 | 3766 | 107 | 180 |
| 420 | Volvo | S60 R 4dr | Sedan | Europe | All | $37,560 | $35,382 | 2.5 | 5.0 | 300 | 18 | 25 | 3571 | 107 | 181 |
| 421 | Volvo | S80 2.9 4dr | Sedan | Europe | Front | $37,730 | $35,542 | 2.9 | 6.0 | 208 | 20 | 28 | 3576 | 110 | 190 |
| 422 | Volvo | S80 2.5T 4dr | Sedan | Europe | All | $37,885 | $35,688 | 2.5 | 5.0 | 194 | 20 | 27 | 3691 | 110 | 190 |
| 423 | Volvo | C70 LPT convertible 2dr | Sedan | Europe | Front | $40,565 | $38,203 | 2.4 | 5.0 | 197 | 21 | 28 | 3450 | 105 | 186 |
| 424 | Volvo | C70 HPT convertible 2dr | Sedan | Europe | Front | $42,565 | $40,083 | 2.3 | 5.0 | 242 | 20 | 26 | 3450 | 105 | 186 |
| 425 | Volvo | S80 T6 4dr | Sedan | Europe | Front | $45,210 | $42,573 | 2.9 | 6.0 | 268 | 19 | 26 | 3653 | 110 | 190 |
| 426 | Volvo | V40 | Wagon | Europe | Front | $26,135 | $24,641 | 1.9 | 4.0 | 170 | 22 | 29 | 2822 | 101 | 180 |
| 427 | Volvo | XC70 | Wagon | Europe | All | $35,145 | $33,112 | 2.5 | 5.0 | 208 | 20 | 27 | 3823 | 109 | 186 |